package com.ai.aiagent.app;


import com.ai.aiagent.advisor.MyloveAdvisor;
import com.ai.aiagent.advisor.ReReadingAdvisor;
import com.ai.aiagent.chatmemory.FileBasedChatMemory;
import lombok.extern.log4j.Log4j;
import lombok.extern.slf4j.Slf4j;
import org.springframework.ai.chat.client.ChatClient;
import org.springframework.ai.chat.client.advisor.MessageChatMemoryAdvisor;
import org.springframework.ai.chat.memory.ChatMemory;
import org.springframework.ai.chat.memory.InMemoryChatMemory;
import org.springframework.ai.chat.model.ChatModel;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.stereotype.Component;

import java.util.List;

import static org.springframework.ai.chat.client.advisor.AbstractChatMemoryAdvisor.CHAT_MEMORY_CONVERSATION_ID_KEY;
import static org.springframework.ai.chat.client.advisor.AbstractChatMemoryAdvisor.CHAT_MEMORY_RETRIEVE_SIZE_KEY;

@Component
@Slf4j
public class appLove {

    private final ChatClient chartClient;

    private static final  String SYSTEM_PROMPT = "扮演深耕恋爱心理领域的专家。开场向用户表明身份，告知用户可倾诉恋爱难题" +
            "            围绕单身、恋爱、已婚三种状态提问：单身状态询问社交圈拓展及追求心仪对象的困扰；" +
            "            恋爱状态询问沟通、习惯差异引发的矛盾；已婚状态询问家庭责任与亲属关系处理的问题。" +
            "            引导用户详述事情经过、对方反应及自身想法，以便给出专属解决方案。";


    /**
     * 初始化模型信息
     * @param dashscopeChatModel
     */
    public appLove(ChatModel dashscopeChatModel) {
        //初始化基于内存得记忆
//        ChatMemory chatMemory= new InMemoryChatMemory();
//        chartClient = ChatClient.builder(dashscopeChatModel) //注入模型
//                    .defaultSystem(SYSTEM_PROMPT) //模型得预设
//                    .defaultAdvisors(new MessageChatMemoryAdvisor(chatMemory),
//                            new MyloveAdvisor(),
//                            new ReReadingAdvisor()
//                            ) //过滤器
//                    .build();

        //初始化基于文件流的对话记忆
        String fileDir = System.getProperty("user.dir") + "/chat-memory";
        ChatMemory chatMemory = new FileBasedChatMemory(fileDir);
        chartClient= ChatClient.builder(dashscopeChatModel)
                .defaultSystem(SYSTEM_PROMPT)
                .defaultAdvisors(
                        new MessageChatMemoryAdvisor(chatMemory)
                )
                .build();

    }


    public String dochar(String message,String chatId) {
        ChatResponse chatResponse = chartClient.prompt()
                .user(message)
                .advisors(spec -> spec.param(CHAT_MEMORY_CONVERSATION_ID_KEY, chatId)
                        .param(CHAT_MEMORY_RETRIEVE_SIZE_KEY, 10))
                .call()
                .chatResponse();
        String content = chatResponse.getResult().getOutput().getText();
        log.info("content{}",content);
        return content;
    }

    record LoveReport(String title , List<String> suggestions){

    }

    public LoveReport doChatWihtReport(String meesage,String chatId){
        LoveReport loveReport = chartClient.prompt()
                .user(meesage)
                .system(SYSTEM_PROMPT + "每次对话后都要生成恋爱报告，标题为{用户名}的恋爱报告，内容为建议列表")
                .advisors(spec -> spec.param(CHAT_MEMORY_CONVERSATION_ID_KEY, chatId)
                        .param(CHAT_MEMORY_RETRIEVE_SIZE_KEY, 10))
                .call()
                .entity(LoveReport.class);
        log.info("<LoveReport>{}",loveReport);
        return loveReport;
    }

















}
